# Applify

> Use this tool when you need to quickly create custom data dashboards, internal tools, or utilities from natural language requests, and get a live preview URL with real-time build progress. It solves problems of manual app development by allowing users to upload data files or connect to databases and generate shareable, accessible apps. The tool takes in natural language descriptions and data inputs, and outputs live app previews with controllable access via viewer keys.

Canonical page: https://skillsregistry.net/skills/omnivibes-applify  
JSON: https://api.skillsregistry.net/v1/skills/omnivibes-applify

## Description

Builds Streamlit apps from natural language requests. Describe what you need — data dashboards, internal tools, utilities — and get a live preview URL with real-time build progress. Upload  
  data files (CSV, JSON, Excel) or connect to databases. Apps are built once and accessible from any browser or device via shareable URLs. Control access with viewer keys to restrict who can 
  see each app. List and manage previously built apps. Supports MCP UI for rich embedded previews with build status tracking and app iframe.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/omnivibes/applify)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "omnivibes-applify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omnivibes-applify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omnivibes-applify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt